Enterprise Search — Canonical Workflow

What this reference supports

Enterprise search unifies retrieval across SaaS apps, file stores, and internal wikis behind a single grounded interface, combining embeddings, hybrid retrieval, permissions enforcement, and an LLM answerer with citations so users get one trustworthy answer instead of a dozen separate search results scattered across disconnected tools.

Use this page to check which embedding models and hybrid-private-cloud or self-hosted-cluster architectures fit your data volume and permission model, and which evidence exists for retrieval quality and citation accuracy at your expected scale, especially where source systems have inconsistent, legacy, or overlapping permission models across departments and geographies.

Workflow fit is provisional decision support, not a guarantee of retrieval completeness. Permissions enforcement, index freshness, and citation accuracy should be tested on your own corpus and access model before relying on this pattern for sensitive data, and confirm audit-logging coverage across every connected source system, including third-party SaaS connectors and shared network drives used company-wide.